WildfireRiskFinder

Ceredo, WV

How exposed is Ceredo to wildfire?

Elevated
56thpercentile nationally

USFS scores Ceredo at the 56th national percentile for wildfire risk to structures (modestly above the national average for wildfire risk), a figure built from 720 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Ceredo's burn probability — fire likelihood with no building count factored in — sits at the 58th percentile nationally.

Where Ceredo's buildings actually sit

720Total buildings
16.4%Direct exposure
83.5%Indirect exposure
0.1%Minimal exposure

83.5% of Ceredo's 720 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 16.4% Direct and 0.1% Minimal. Vent screens and roofing material matter more here than lot clearing alone.

Where Ceredo ranks

Ceredo scores 56th nationally and 44th within West Virginia — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Ceredo ranks 13,948 for wildfire risk (1 is highest) and 14,461 by building count (1 is largest). Within West Virginia alone, it ranks 241 of 429 places by risk. See the full county-by-county picture for West Virginia on its state page.

Shopping for coverage in Ceredo

Ceredo's elevated rating (56th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.

What would actually reduce this score

With ember exposure the dominant pattern in Ceredo (83.5% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.

Where Ceredo's figures come from

Ceredo's 56th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Ceredo's dominant indirect exposure actually means, with real examples from across the dataset.